Basic working knowledge of Python including numpy and pandas. comfortable with calculus and linear algebra
Udacity current price ( USD)
Reseller price (USD)
This program is designed to build on your skills in deep learning. As such, it doesn’t prepare you for a specific job, but expands your skills in the deep learning domain. These skills can be applied to various applications and also qualify you to pursue further studies in the field.
Students who have completed other ND’s (ML,AIP,CV,NLP) and trying to get into Deep Learning.
Building neural networks for image classification, image generation, time-series prediction. Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Generative Adversarial Neural Networks (GANNs), sentiment analysis model. Heavy use of Pytorch
Why Take This ND?
In LinkedIn’s 2020 Emerging Jobs report, AI Specialist, a role that includes machine learning, deep learning, TensorFlow, and Python as key skills, boasts 74% annual growth. All of the above skills are incorporated into Udacity’s Intro to Machine Learning with PyTorch Nanodegree program, which is a great way to get introduced to the fundamentals of machine learning, including areas like manipulating data, supervised & unsupervised learning, and deep learning. In this program, you will complete three hands-on projects including building an image classifier, and creating customer segments, that will prepare you for one of the 50,000 open roles in machine learning.
- What They Need: Need a computer on which all of these programs can be installed
- What They Use/Learn: Python, PyTorch (library in Python used in Deep Learning project), Jupyter Notebook, NumPy, Anaconda, Pandas
- Predicting Bike-Sharing Patterns
- Dog-Breed Classifier
- Generate TV Scripts
- Generate Faces
- Deploying a Sentiment Analysis Model
Resources (blog posts, other)
- Lectures 0
- Quizzes 0
- Duration 4 months
- Skill level All levels
- Language English
- Students 10
- Assessments Yes